{"id":122265,"date":"2021-09-07T01:30:23","date_gmt":"2021-09-07T01:30:23","guid":{"rendered":"https:\/\/www.leawo.org\/entips\/?p=122265"},"modified":"2021-09-07T01:30:23","modified_gmt":"2021-09-07T01:30:23","slug":"know-about-nvidia-cuda-technology","status":"publish","type":"post","link":"https:\/\/www.leawo.org\/entips\/know-about-nvidia-cuda-technology.html","title":{"rendered":"NVIDIA CUDA technology"},"content":{"rendered":"

NVIDIA GPUs power millions of desktops, notebooks, workstations and supercomputers around the world, accelerating computationally-intensive tasks for consumers, professionals, scientists, and researchers. To deliver better media conversion experience, Leawo\u2019s media converting solutions have been upgraded with\u00a0NVIDIA CUDA technology,\u00a0<\/strong>offering improved video encoding\/decoding performance (when processing high-definition videos in particular) for any computer running on CUDA-enabled GPU. By processing video conversions on NVIDIA\u2019s GPU instead of your computer\u2019s CPU, more CPU resources can be spared for other applications, making your computer run\u00a06 times faster<\/strong>.<\/p>\n

NVIDIA CUDA Acceleration Examples<\/strong><\/p>\n\n\n\n\n\n\n
<\/td>\n\n

Without NVIDIA CUDA Acceleration<\/p>\n<\/td>\n

\n

NVIDIA CUDA Accelerated<\/p>\n<\/td>\n<\/tr>\n

BD50 to AVI<\/td>\n\n

249min<\/p>\n<\/td>\n

\n

117min<\/p>\n<\/td>\n<\/tr>\n

BD50 to MKV<\/td>\n\n

304min<\/p>\n<\/td>\n

\n

115min<\/p>\n<\/td>\n<\/tr>\n

BD50 to MP4<\/td>\n\n

248min<\/p>\n<\/td>\n

\n

104min<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u00a0 \u00a0 \u00a0 \u00a0OS: Win 7 Ultimate\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Disc\uff1aDOOM<\/p>\n

CPU: Intel(R) Celeron(R) CPU E3400 @ 2.60GHz\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Input: BD 50<\/p>\n

\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0Graphic: NVIDIA 210\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0 Output: MKV, AVI, MP4 (1024x768)<\/p>\n

Presently, Leawo software programs including video converter, Blu-ray Ripper, DVD Ripper, YouTube Downloader, Video Accelerator, etc. support NVIDIA CUDA accelerating. Converting software solutions that don\u2019t support NVIDIA CUDA accelerating are DVD Copy, DVD Creator, Blu-ray Copy, Blu-ray Creator and Blu-ray to MKV Converter.<\/strong><\/p>\n

Conversion profiles that leverage CUDA technology are clearly labeled; users can optionally enable GPU encoding\/decoding acceleration once CUDA-enable graphics card has been detected.<\/p>\n

How to open NVIDIA CUDA\/AMD APP acceleration on Leawo\u2019s products<\/h2>\n

On some of Leawo\u2019s media converter programs, like Blu-ray Ripper and Blu-ray Copy, click the \u201cSettings\u201d wheel icon on the top-right corner of menu bar, then enter \u201cPerformance\u201d tab to check \u201cEnable NVIDIA CUDA Acceleration\u201d button for activating NVIDIA CUDA accelerating. AMD APP accelerating shares the same operation on opening.<\/p>\n

\"\"<\/p>\n

On other programs that still adopt old interface, click \u201cTools > Options > Conversion\u201d tab to open accelerating.<\/p>\n

\"\"<\/p>\n

Operating system<\/h2>\n

Operating System of CUDA<\/strong>:\u00a0 Windows 8\/Windows 7\/Windows Vista\/Windows XP\/Windows Server 2008\/Windows Server 2003\/<\/p>\n

Supported Formats<\/h2>\n

Input Video Formats: AVI, MPEG, WMV, MP4, FLV, MKV, H.264\/MPEG-4, DivX, XviD, MOV, M4V, VOB, ASF, 3GP, 3G2, SWF, H.261, H.264, DV, DIF, MJPG, MJPEG, DVR-MS, NUT, QT, YUV, DAT, MPV, NSV AVCHD Video (*.mts, *.m2ts), H.264\/MPEG-4 AVC (*.mp4), MPEG2 HD Video (*.mpg; *.mpeg), MPEG-4 TS HD Video (*.ts), MPEG-2 TS HD Video (*.ts), Quick Time HD Video (*.mov), WMV HD Video (*.xwmv), Audio-Video Interleaved HD Video (*.avi)
\nOutput Video Formats: all video formats with H.264 codec<\/p>\n

Supported NVIDIA GPUS for NVENC SDK<\/h2>\n

\u2022NVIDIA Quadro K4000 and above \u2013 Desktop Workstation
\n\u2022NVIDIA Quadro K2000M and above \u2013 Mobile Workstation
\n\u2022NVIDIA Tesla K10 and above \u2013 High Performance Computing
\n\u2022NVIDIA GRID \u2013 Virtual Desktops & Applications
\n\u2022NVIDIA GeForce - Desktop and Mobile Computers<\/p>\n

Note<\/strong>: New NVIDIA graphic drivers that adopt NVENC SDK only support graphic cards with Kepler and Maxwell architectures. To enable graphic cards accelerating, those non-Kepler-and-Maxwell graphic cards need to install previous drivers. GeForce graphic cards need to install 337.88 or previous versions, and Quadro\/Tesla graphic cards need to install V341.05 or before. These drivers could be found here https:\/\/www.nvidia.com\/Download\/Find.aspx?lang=en-us<\/a>. <\/p>\n

\n For the features, specs and architectures of all graphic cards, please click: https:\/\/www.geforce.com\/hardware\/desktop-gpus<\/a>.<\/p>\n

The official explanation about NVENC SDK adopted by Leawo\u2019s products is available here: https:\/\/developer.nvidia.com\/nvidia-video-codec-sdk<\/a>. <\/p>\n","protected":false},"excerpt":{"rendered":"

NVIDIA GPUs power millions of desktops, notebooks, workstations and supercomputers around the world, accelerating computationally-intensive tasks for consumers, professionals, scientists, and researchers. To deliver better media conversion experience, Leawo\u2019s media converting solutions have been upgraded with\u00a0NVIDIA CUDA technology,\u00a0offering improved video …<\/p>\n

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